Fluorescence lateral flow immunoassay(LFA)has emerged as a powerful tool for rapid screening of various biomarkers owing to its simplicity,sensitivity and flexibility.It is noteworthy that fluorescent probe mainly det...Fluorescence lateral flow immunoassay(LFA)has emerged as a powerful tool for rapid screening of various biomarkers owing to its simplicity,sensitivity and flexibility.It is noteworthy that fluorescent probe mainly determines the analytical performance of LFA.Due to the emission and excitation wavelengths are located in the visible region,most fluorophores are inevitably subject to light scattering and background autofluorescence.Herein,we reported a novel LFA sensor based on the second near-infrared(NIR-Ⅱ)fluorescent probe with excellent anti-interference capability.The designed NIR-Ⅱprobe was the Nd^(3+)and Yb^(3+)doped rare earth nanoparticles(RENPs)by employing Nd^(3+)as energy donor and Yb^(3+)as energy acceptor,which of the donor-acceptor energy transfer(ET)efficiency reached up to 80.7%.Meanwhile,relying on the convenient and effective encapsulation strategy of poly(lactic-co-glycolic acid)(PLGA)microspheres to RENPs,the surface functionalized NIR-Ⅱprobe(RE@PLGA)was obtained for subsequent bioconjugation.Benefiting from the optical advantages of NIR-Ⅱprobe,this proposed NIR-ⅡLFA displayed a good linear relationship ranging from 7 ng/mL to 200 ng/mL for the detection ofα-fetoprotein(AFP),an important biomarker of hepatocellular carcinoma(HCC).The limit of detection(LOD)was determined as low as 3.0 ng/m L,which was of 8.3 times lower than clinical cutoff value.It is promising that LFA sensor based on this efficient RENPs probe provides new opportunities for high sensitive detection of various biomarkers in biological samples.展开更多
The prevalence of high blood pressure is on the rise among younger individuals,and recent findings have linked exercise to changes in the diversity and configuration of gut microbiota.However,specific modifications to...The prevalence of high blood pressure is on the rise among younger individuals,and recent findings have linked exercise to changes in the diversity and configuration of gut microbiota.However,specific modifications to one's diet,such as incorporating blueberries while engaging in physical activity,can also influence this association.To explore the effects of exercise and blueberry consumption on gut bacteria,we conducted an 8-week study involving healthy and hypertensive college students.Our microbiome analysis revealed slight shifts in gut bacteria composition in response to increased physical activity,with significant changes in the diversity of the g_[Eubacterium]_eligens_group observed in hypertensive college students who regularly consumed blueberries.Although exercise and blueberry supplementation had a negligible impact on the gut microbiota diversity of healthy college students,it significantly boosted the production of butyric acid bacteria in hypertensive young adults.These results suggest that the changes in gut bacteria variety and abundance brought about by blueberries may be tied to alterations in the body composition of patients with hypertension.This study aims to reveal the impact of blueberry on the hypertensive students from a unique perspective,suggesting the impact of taking blueberry while taking exercises.展开更多
Significant breakthroughs in the Internet of Things(IoT)and 5G technologies have driven several smart healthcare activities,leading to a flood of computationally intensive applications in smart healthcare networks.Mob...Significant breakthroughs in the Internet of Things(IoT)and 5G technologies have driven several smart healthcare activities,leading to a flood of computationally intensive applications in smart healthcare networks.Mobile Edge Computing(MEC)is considered as an efficient solution to provide powerful computing capabilities to latency or energy sensitive nodes.The low-latency and high-reliability requirements of healthcare application services can be met through optimal offloading and resource allocation for the computational tasks of the nodes.In this study,we established a system model consisting of two types of nodes by considering nondivisible and trade-off computational tasks between latency and energy consumption.To minimize processing cost of the system tasks,a Mixed-Integer Nonlinear Programming(MINLP)task offloading problem is proposed.Furthermore,this problem is decomposed into task offloading decisions and resource allocation problems.The resource allocation problem is solved using traditional optimization algorithms,and the offloading decision problem is solved using a deep reinforcement learning algorithm.We propose an Online Offloading based on the Deep Reinforcement Learning(OO-DRL)algorithm with parallel deep neural networks and a weightsensitive experience replay mechanism.Simulation results show that,compared with several existing methods,our proposed algorithm can perform real-time task offloading in a smart healthcare network in dynamically varying environments and reduce the system task processing cost.展开更多
Hexagonal boron nitride(h-BN)has emerged as a promising two-dimensional material for quantum and optoelectronic applications,with its unique ability to host engineered defects enabling single-photon emission and spin ...Hexagonal boron nitride(h-BN)has emerged as a promising two-dimensional material for quantum and optoelectronic applications,with its unique ability to host engineered defects enabling single-photon emission and spin manipulation.This study investigates defect formation in h-BN using focused helium ion beam(He^(+)FIB)irradiation and post-annealing treatments.We demonstrate that helium ion irradiation at doses up to 2×10^(9) ions/μm^(2) does not induce phase transitions or amorphization.Spectroscopic analyses,including differential reflectance spectroscopy(DRS),photoluminescence(PL),and Raman spectroscopy,reveal substantial defect formation and structural modifications.Notably,the irradiation induces a softening of in-plane and interlayer phonon modes,characterized by frequency redshifts of 10.5 cm^(-1) and 3.2 cm^(-1),respectively.While high-temperature thermal annealing mitigates lattice defects and facilitates single-photon emission,the E_(2g) peak width remains 38%broader and the shear mode peak width is 60%broader compared to pre-annealing conditions in the Raman spectra,indicating residual structural degradation.These findings provide insights into defect engineering mechanisms in h-BN,offering guidance for optimizing processing conditions and advancing quantum and optoelectronic device technologies.展开更多
<strong>Objective</strong>: Exploring the expression characteristics of CRP/ALB (CAR) in DLBCL patients and its value in prognostic judgment. <strong>Methods:</strong> We collected the basic in...<strong>Objective</strong>: Exploring the expression characteristics of CRP/ALB (CAR) in DLBCL patients and its value in prognostic judgment. <strong>Methods:</strong> We collected the basic information, clinical characteristics, laboratory examinations and follow-up prognosis of 142 newly diagnosed DLBCL patients with relatively complete data in our hospital and performed statistical analysis. We used X-tile analysis software to obtain the best cut-off value of CAR (0.33), compared the clinical characteristics and survival of patients in the high CAR group and the low CAR group, and compared the survival status with the IPI scoring system. <strong>Results:</strong> 1) There were significant differences in staging, grouping, IPI scores, extranodal involvement, LDH levels, <em>β</em>2-microglobulin, CA125, and Hb levels between the high CAR group and the low CAR group (all <em>P</em> < 0.05). 2) According to the survival curve, the OS of the high CAR group was significantly shorter than that of the low CAR group (<em>P</em> < 0.01), and the one-year, three-year and five-year survival conditions of high CAR group were all shorter than those of low CAR group. 3) COX analysis showed that high CAR is an independent poor prognostic factor for DLBCL patients. 4) A comparative analysis of OS, three-year and five-year survival showed that the combination of CAR and IPI was significantly better than the IPI system, and there was no significant difference in the evaluation value of the prognosis between CAR alone and IPI alone. <strong>Conclusion:</strong> High CAR value, like the IPI scoring system, is an independent poor prognostic factor of DLBCL, can be used as a reliable indicator of prognosis. And CAR can also be combined with IPI to evaluate the prognosis of DLBCL, of which the effect is better than that of IPI alone.展开更多
基金supported by the National Natural Science Foundation of China(Nos.U2267221,22107029,22377135)the Bohai Rim Advanced Research Institute for Drug Discovery(No.LX215002)+5 种基金the Natural Science Foundation of Shandong Province(No.ZR2022QH212)the Taishan Scholars Program(No.tsqn202312305)the Young Elite Scientists Sponsorship Program by Chinese Chemical Societythe Fundamental Research Projects of Science&Technology Innovation and development Plan in Yantai City(No.2023JCYJ059)the Shandong Laboratory Program(No.SYS202205)the Shanghai Postdoctoral Excellence Program(No.2023704)。
文摘Fluorescence lateral flow immunoassay(LFA)has emerged as a powerful tool for rapid screening of various biomarkers owing to its simplicity,sensitivity and flexibility.It is noteworthy that fluorescent probe mainly determines the analytical performance of LFA.Due to the emission and excitation wavelengths are located in the visible region,most fluorophores are inevitably subject to light scattering and background autofluorescence.Herein,we reported a novel LFA sensor based on the second near-infrared(NIR-Ⅱ)fluorescent probe with excellent anti-interference capability.The designed NIR-Ⅱprobe was the Nd^(3+)and Yb^(3+)doped rare earth nanoparticles(RENPs)by employing Nd^(3+)as energy donor and Yb^(3+)as energy acceptor,which of the donor-acceptor energy transfer(ET)efficiency reached up to 80.7%.Meanwhile,relying on the convenient and effective encapsulation strategy of poly(lactic-co-glycolic acid)(PLGA)microspheres to RENPs,the surface functionalized NIR-Ⅱprobe(RE@PLGA)was obtained for subsequent bioconjugation.Benefiting from the optical advantages of NIR-Ⅱprobe,this proposed NIR-ⅡLFA displayed a good linear relationship ranging from 7 ng/mL to 200 ng/mL for the detection ofα-fetoprotein(AFP),an important biomarker of hepatocellular carcinoma(HCC).The limit of detection(LOD)was determined as low as 3.0 ng/m L,which was of 8.3 times lower than clinical cutoff value.It is promising that LFA sensor based on this efficient RENPs probe provides new opportunities for high sensitive detection of various biomarkers in biological samples.
基金funded by the Liaoning province Department of Education fund(LJKZ0651)the scientific research fund project of Liaoning provincial department of education(LJKZ0430)the Fund for Distinguished Young Scholars of Liaoning Province(2023JH6/100500010)。
文摘The prevalence of high blood pressure is on the rise among younger individuals,and recent findings have linked exercise to changes in the diversity and configuration of gut microbiota.However,specific modifications to one's diet,such as incorporating blueberries while engaging in physical activity,can also influence this association.To explore the effects of exercise and blueberry consumption on gut bacteria,we conducted an 8-week study involving healthy and hypertensive college students.Our microbiome analysis revealed slight shifts in gut bacteria composition in response to increased physical activity,with significant changes in the diversity of the g_[Eubacterium]_eligens_group observed in hypertensive college students who regularly consumed blueberries.Although exercise and blueberry supplementation had a negligible impact on the gut microbiota diversity of healthy college students,it significantly boosted the production of butyric acid bacteria in hypertensive young adults.These results suggest that the changes in gut bacteria variety and abundance brought about by blueberries may be tied to alterations in the body composition of patients with hypertension.This study aims to reveal the impact of blueberry on the hypertensive students from a unique perspective,suggesting the impact of taking blueberry while taking exercises.
基金supported in part by the National Natural Science Foundation of China under Grant 62371181in part by the Changzhou Science and Technology International Cooperation Program under Grant CZ20230029+1 种基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government.(MSIT)(2021R1A2B5B02087169)supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(RS-202300259004)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation)。
文摘Significant breakthroughs in the Internet of Things(IoT)and 5G technologies have driven several smart healthcare activities,leading to a flood of computationally intensive applications in smart healthcare networks.Mobile Edge Computing(MEC)is considered as an efficient solution to provide powerful computing capabilities to latency or energy sensitive nodes.The low-latency and high-reliability requirements of healthcare application services can be met through optimal offloading and resource allocation for the computational tasks of the nodes.In this study,we established a system model consisting of two types of nodes by considering nondivisible and trade-off computational tasks between latency and energy consumption.To minimize processing cost of the system tasks,a Mixed-Integer Nonlinear Programming(MINLP)task offloading problem is proposed.Furthermore,this problem is decomposed into task offloading decisions and resource allocation problems.The resource allocation problem is solved using traditional optimization algorithms,and the offloading decision problem is solved using a deep reinforcement learning algorithm.We propose an Online Offloading based on the Deep Reinforcement Learning(OO-DRL)algorithm with parallel deep neural networks and a weightsensitive experience replay mechanism.Simulation results show that,compared with several existing methods,our proposed algorithm can perform real-time task offloading in a smart healthcare network in dynamically varying environments and reduce the system task processing cost.
基金supported by the National Natural Science Foundation of China(Grant Nos.11727902,12074372,12174385,12334014,and 12304112).
文摘Hexagonal boron nitride(h-BN)has emerged as a promising two-dimensional material for quantum and optoelectronic applications,with its unique ability to host engineered defects enabling single-photon emission and spin manipulation.This study investigates defect formation in h-BN using focused helium ion beam(He^(+)FIB)irradiation and post-annealing treatments.We demonstrate that helium ion irradiation at doses up to 2×10^(9) ions/μm^(2) does not induce phase transitions or amorphization.Spectroscopic analyses,including differential reflectance spectroscopy(DRS),photoluminescence(PL),and Raman spectroscopy,reveal substantial defect formation and structural modifications.Notably,the irradiation induces a softening of in-plane and interlayer phonon modes,characterized by frequency redshifts of 10.5 cm^(-1) and 3.2 cm^(-1),respectively.While high-temperature thermal annealing mitigates lattice defects and facilitates single-photon emission,the E_(2g) peak width remains 38%broader and the shear mode peak width is 60%broader compared to pre-annealing conditions in the Raman spectra,indicating residual structural degradation.These findings provide insights into defect engineering mechanisms in h-BN,offering guidance for optimizing processing conditions and advancing quantum and optoelectronic device technologies.
文摘<strong>Objective</strong>: Exploring the expression characteristics of CRP/ALB (CAR) in DLBCL patients and its value in prognostic judgment. <strong>Methods:</strong> We collected the basic information, clinical characteristics, laboratory examinations and follow-up prognosis of 142 newly diagnosed DLBCL patients with relatively complete data in our hospital and performed statistical analysis. We used X-tile analysis software to obtain the best cut-off value of CAR (0.33), compared the clinical characteristics and survival of patients in the high CAR group and the low CAR group, and compared the survival status with the IPI scoring system. <strong>Results:</strong> 1) There were significant differences in staging, grouping, IPI scores, extranodal involvement, LDH levels, <em>β</em>2-microglobulin, CA125, and Hb levels between the high CAR group and the low CAR group (all <em>P</em> < 0.05). 2) According to the survival curve, the OS of the high CAR group was significantly shorter than that of the low CAR group (<em>P</em> < 0.01), and the one-year, three-year and five-year survival conditions of high CAR group were all shorter than those of low CAR group. 3) COX analysis showed that high CAR is an independent poor prognostic factor for DLBCL patients. 4) A comparative analysis of OS, three-year and five-year survival showed that the combination of CAR and IPI was significantly better than the IPI system, and there was no significant difference in the evaluation value of the prognosis between CAR alone and IPI alone. <strong>Conclusion:</strong> High CAR value, like the IPI scoring system, is an independent poor prognostic factor of DLBCL, can be used as a reliable indicator of prognosis. And CAR can also be combined with IPI to evaluate the prognosis of DLBCL, of which the effect is better than that of IPI alone.
